~/talk

Is your LLM any good at writing? Benchmarking on creative writing and editing tasks

Talkat PyCon DE & PyData 2025 · on Friday, 2025-04-25· at 13:20· Platinum3· [large-language-models, data-science]
links:none on file
slides:none on file

A systematic benchmark tests 18 models on 15 concrete writing tasks spanning date & greeting formatting, following and avoiding explicit style instructions, vocabulary and syntactic diversity, and self-evaluation. Every model nails date and greeting formatting; conciseness is 99% for reasoning-focused models like O3-mini; the blacklisted words test stumps all models (none exceed ~86%). Larger models do not always win; O3-mini tops instruction adherence while Claude 3.5 Sonnet trades better balance with higher syntactic diversity.

AI-written summary · about

  1. 0:00LLM writing usage and bias
  2. 3:23LLM writing style problems
  3. 7:57Benchmark for writing tasks
  4. 13:38Benchmark results and performance
  5. 18:13Diversity in LLM content
  6. 19:17Why LLMs lack diversity
  7. 21:42Benchmark sharing and future work
  8. 22:04Q&A
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